Institution
Mayo Clinic
Healthcare•Rochester, Minnesota, United States•
About: Mayo Clinic is a healthcare organization based out in Rochester, Minnesota, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 63387 authors who have published 169578 publications receiving 8114006 citations.
Topics: Population, Transplantation, Cancer, Breast cancer, Heart failure
Papers published on a yearly basis
Papers
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TL;DR: There is increasing evidence that a combination of currently existing neuroimaging and cerebrospinal fluid (CSF) and blood biomarkers can provide important complementary information and thus contribute to a more accurate and earlier diagnosis of AD.
Abstract: With the increasing life expectancy in developed countries, the incidence of Alzheimer’s disease (AD) and thus its socioeconomic impact are growing. Increasing knowledge over the last years about the pathomechanisms involved in AD allow for the development of specific treatment strategies aimed at slowing down or even preventing neuronal death in AD. However, this requires also that (1) AD can be diagnosed with high accuracy, because non-AD dementias would not benefit from an AD-specific treatment; (2) AD can be diagnosed in very early stages when any intervention would be most effective; and (3) treatment efficacy can be reliably and meaningfully monitored. Although there currently is no ideal biomarker that would fulfill all these requirements, there is increasing evidence that a combination of currently existing neuroimaging and cerebrospinal fluid (CSF) and blood biomarkers can provide important complementary information and thus contribute to a more accurate and earlier diagnosis of AD. The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is exploring which combinations of these biomarkers are the most powerful for diagnosis of AD and monitoring of treatment effects.
992 citations
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TL;DR: Coronary calcium quantification is an excellent method of assessing atherosclerotic plaque presence at individual artery sites and the remodeling phenomenon is the likely explanation for the lack of a good predictive value between lumen narrowing and quantification of mural calcification.
991 citations
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TL;DR: A new risk stratification model is provided to specifically define high-risk patients who may benefit from novel therapeutic strategies in multiple myeloma.
Abstract: New systems have emerged for diagnosis, staging and response assessment in multiple myeloma (MM). The diagnostic and response criteria recommended are primarily derived from the International Myeloma Working Group, with certain updates and clarifications. The International Staging System is the current standard for staging of myeloma. A new risk stratification model is provided to specifically define high-risk patients who may benefit from novel therapeutic strategies. This paper provides the current criteria for diagnosis, staging, risk stratification and response assessment of MM.
991 citations
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Massachusetts Institute of Technology1, QIMR Berghofer Medical Research Institute2, University of London3, University of California, San Francisco4, Columbia University5, University of Edinburgh6, VU University Amsterdam7, University of Bonn8, University of Washington9, Heidelberg University10, University of Iowa11, University of North Carolina at Chapel Hill12, National Institutes of Health13, Karolinska Institutet14, North Carolina State University15, Harvard University16, University of Lausanne17, University of Southern California18, Howard University19, Rush University Medical Center20, University of Geneva21, University of Sydney22, University of Bristol23, Cardiff University24, Mayo Clinic25, Virginia Commonwealth University26, Leiden University27, Stanford University28
TL;DR: This article conducted a genome-wide association studies (GWAS) mega-analysis for major depressive disorder (MDD) using more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18,759 independent and unrelated subjects of recent European ancestry.
Abstract: Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.
989 citations
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TL;DR: SCHOLAR-1, an international, multicohort retrospective non-Hodgkin lymphoma research study, retrospectively evaluated outcomes in patients with refractory DLBCL, the largest patient-level pooled retrospective analysis to characterize response rates and survival for a population of patients withRefractoryDLBCL.
987 citations
Authors
Showing all 64325 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eugene Braunwald | 230 | 1711 | 264576 |
Peter Libby | 211 | 932 | 182724 |
Cyrus Cooper | 204 | 1869 | 206782 |
Rob Knight | 201 | 1061 | 253207 |
Robert M. Califf | 196 | 1561 | 167961 |
Eric J. Topol | 193 | 1373 | 151025 |
Dennis W. Dickson | 191 | 1243 | 148488 |
Gordon B. Mills | 187 | 1273 | 186451 |
Julie E. Buring | 186 | 950 | 132967 |
Patrick W. Serruys | 186 | 2427 | 173210 |
Cornelia M. van Duijn | 183 | 1030 | 146009 |
Paul G. Richardson | 183 | 1533 | 155912 |
John C. Morris | 183 | 1441 | 168413 |
Valentin Fuster | 179 | 1462 | 185164 |
Ronald C. Petersen | 178 | 1091 | 153067 |